Category: EECS: Electrical and Computer Engineering
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Efficiency upgrade for OLED screens: A route to blue PHOLED longevity
Commercial devices currently settle for less efficient blue OLEDs, but a set of design innovations has made an efficient blue that is as durable as efficient green OLEDs.
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Advances in organic electronics and optoelectronics
NAE profile: Steve Forrest, Electrical and Computer Engineering
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Advancing microelectronics and integrating sensor technologies
NAE profile: Kensall Wise, Electronics, Communication & Information Systems Specialist.
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The US has a new most powerful laser
Hitting 2 petawatts, the NSF-funded ZEUS facility at U-M enables research that could improve medicine, national security, materials science and more.
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Careful heating unlocks unprecedented sensitivity to pressure in semiconductor materials
A simple and scalable annealing method boosts the quality of materials used in cell phones, sensors and energy harvesting devices.
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Advanced microelectronics: Why a next-gen semiconductor doesn’t fall to pieces
The mechanism holding new ferroelectric semiconductors together produces a conductive pathway that could enable high power transistors.
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Enabling stroke victims to “speak”: $19M toward brain implants to be built at U-M
Marcus Foundation’s $30 million gift supports a collaboration between Stanford and U-M to help stroke victims regain the ability to read, write and speak.
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AI symposium: Michigan Engineering speakers share how they use AI in research
In addition to making predictions and scientific discoveries, engineers at the MIDAS symposium discussed improving AI’s interpretability and preventing misuse.
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U-M awarded up to $7.5M to bring heat-tolerant semiconductors from lab to fab
Open-source effort supports durable silicon carbide circuits that can operate at record high temperatures.
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Magnetic switch traps quantum information carriers in one dimension
Innovations in quantum sensing and computing could follow the discovery of how chromium sulfide bromide responds to magnetic fields.
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Bridging gaps in rural health care with AI-powered mobile clinics
General practitioners with AI help could make diagnoses, run and interpret tests, and perform procedures like specialists.
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Boosting AI model size and training speed with lightwave-connected chips
AI growth is capped by data transfer rates between computing chips, but transferring data with light could remove the ceiling.